- Magnus Korpås
- WP3 Lead
Observability in TSO/DSO interface
Challenge and objective
- The introduction of distributed energy resources introduces a lot of uncertainties, and fast dynamics. The consumers’ privacy consideration, lack of measurement units and geographical difficulties call for new methods for distributed monitoring of power grids.
- Introduced the concept of partially known power grids.
- Developed procedures for simultaneous input and state estimation.
- Use covariance intersection for data fusion between different sensors.
- Introduced fully distributed state estimation for distribution networks.
- The fast dynamic states and transients of a power network are captured using dynamic procedures.
- The number of measurements needed for state estimation was reduced significantly.
- All available measurements with different measuring rate including PMUs, SCADA and smart meters are used at the same time.
Impact for distribution system innovation
- Can be developed to be used for autonomous self-healing controller systems.
- Can be exploited to do sensor placement optimally.
- Fault detection scheme can be derived based on the proposed algorithm.
References in CINELDI
- M. Abooshahab, M. Hovd, R. Bitmead: "Disturbance and state estimation in partially known power networks", IEEE Conference on Control Technology and Applications 2019 (SINTEF Blog).
- R. Bitmead, M. Hovd, M. Abooshahab: "A Kalman-filtering derivation of simultaneous input and state estimation", Automatica 2019.